Seho Lee
Orcid: 0000-0001-7125-6271
According to our database1,
Seho Lee
authored at least 13 papers
between 2014 and 2023.
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Bibliography
2023
Effects of altered functional connectivity on motor imagery brain-computer interfaces based on the laterality of paralysis in hemiplegia patients.
Comput. Biol. Medicine, November, 2023
Benchmarking applicability of medium-resolution cryo-EM protein structures for structure-based drug design.
J. Comput. Chem., 2023
Interpretability of Hybrid Feature Using Graph Neural Networks from Mental Arithmetic Based EEG.
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023
2022
Recognition Accuracy Enhancement using Interface Control with Weight Variation-Lowering in Analog Computation-in-Memory.
Proceedings of the IEEE International Memory Workshop, 2022
Memory Window Expansion for Ferroelectric FET based Multilevel NVM: Hybrid Solution with Combination of Polarization and Injected Charges.
Proceedings of the IEEE International Memory Workshop, 2022
Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification.
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022
2021
Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
2020
Lateralization of alpha oscillation under preparation Lead to Efficiency of Motor Imagery: Related with Performance of Classification.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Importance of Reliable EEG Data in Motor Imagery Classification: Attention Level-based Approach.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
2019
Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
FPGA-based Acceleration of Binary Neural Network Training with Minimized Off-Chip Memory Access.
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019
2014
Last block logging mechanism for improving performance and lifetime on SCM-based file system.
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, 2014